<電子ブック>
Advances in Meta-Analysis / by Terri Pigott
(Statistics for Social and Behavioral Sciences. ISSN:21997365)
版 | 1st ed. 2012. |
---|---|
出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 2012 |
本文言語 | 英語 |
大きさ | XIV, 158 p : online resource |
著者標目 | *Pigott, Terri author SpringerLink (Online service) |
件 名 | LCSH:Social sciences -- Statistical methods
全ての件名で検索
LCSH:Statistics FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Statistics |
一般注記 | Rationale and overview of the book -- Complexities of primary research and meta-analysis -- Fixed, random, and mixed models -- Correlations -- Effect sizes -- Proportion/odds ratio data -- Dependence in primary research and meta-analysis -- Correlations -- Effect sizes (group comparisons and change measures) -- Proportion/odds ratio data -- Bayesian approaches -- Missing data -- Combining across designs -- Qualitative studies in synthesis -- Quality assessments -- Studies on quality weighting -- Summary/Conclusions Meta-analysis is used increasingly in the social sciences to synthesize research results. As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques have evolved to address these issues. This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis. More specifically, this book discusses the planning of a meta-analysis for complex questions, computing power for tests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of a meta-analysis. For each topic, a fully annotated example is provided with sample computer programs for the major statistical packages. This book assumes a familiarity with basic meta-analytic techniques. The goal of the book is to provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analysis with complex data. Terri D. Pigott is a Professor of Research Methodology in Loyola University Chicago’s School of Education. Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy HTTP:URL=https://doi.org/10.1007/978-1-4614-2278-5 |
目次/あらすじ
所蔵情報を非表示
電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
電子ブック | オンライン | 電子ブック |
|
|
Springer eBooks | 9781461422785 |
|
電子リソース |
|
EB00237758 |
類似資料
この資料の利用統計
このページへのアクセス回数:3回
※2017年9月4日以降